Overall AI readiness score
A combined result across all audit signals.
Excellent
AI readiness audit: 7/30/2026Public technical data
Overall AI readiness assessment
How ready cbk.ai is for AI systems
CBK AI was independently reviewed for the international directory. At the time of the audit, cbk.ai received an AI-readiness score of 83/100. Its llms.txt file was available during verification. No accessible llms-full.txt file was detected. This page is based on the website and its publicly accessible technical files.
Audit context
llms.txt is accessible and contains 575 tokens. No accessible llms-full.txt was detected, so deeper context still has to be assembled from regular pages. No separate ai.txt policy was detected; it is optional, but can clarify training, retrieval, and attribution preferences.
robots.txt is available. 11 of 11 tracked AI bots are not blocked. Declared sitemaps: 1. The homepage exposes Schema.org types Organization, WebSite, WebPage; 10 OpenGraph tags were found and markup completeness is 100%.
The mobile Lighthouse profile adds Performance 42/100, Accessibility 84/100, Best Practices 100/100, SEO 100/100, and experimental Agentic Browsing 67/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.
Confirmed strengths
- Accessible llms.txt
- 1 sitemap declaration
- Schema.org: Organization, WebSite
- Complete social metadata
Priority improvements
- 1Add llms-full.txt for richer first-party context.
- 2Reduce mobile rendering delay and main-thread work.
- 3Clarify semantics, labels, and interactive states.
llms.txt tokens575
llms-full.txt tokens—
ai.txt
sitemap.xml
Google Lighthouse technical profile
A mobile Lighthouse measurement. Google’s experimental Agentic Browsing category is explained separately and does not replace the broader llmsmap AI-readiness score.
42
Performance
84
Accessibility
100
Best Practices
100
Technical SEO
67
Agentic Browsing
What these results mean
Mobile performance is 42/100, with the largest visible content block appearing in 12.9 s and the browser main thread blocked for 11,690 ms. Layout shift was 0. The main thread is where the browser runs JavaScript, calculates layout, and paints the page; long work there delays both user input and browser-agent actions.
Accessibility scored 84/100, Best Practices 100/100, and technical SEO 100/100. The experimental Agentic Browsing category scored 67/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.
1
Free the main thread and accelerate the first view
Split long JavaScript tasks, defer non-critical scripts and styles, and shorten blocking request chains. This helps the primary content appear sooner and makes controls usable earlier.
2
Reduce code that loads without helping the page
Remove unused CSS and JavaScript, load heavy widgets on demand, and limit third-party scripts. Less code means less parsing and background work on the device.
3
Optimise images and their loading order
Serve correctly sized modern formats, prioritise the primary visual, and lazy-load content below the first viewport.
4
Make controls unambiguous
Give buttons and links accessible names, associate labels with fields, and use ordered headings and semantic regions. The same structure helps screen readers and software agents understand actions.
FCP0.9 s
First content
LCP12.9 s
Main content
CLS0
Layout stability
TBT11,690 ms
Blocking time
SI4.9 s
Visual speed
Metric glossary
- FCP · First content
- When the first text or image appeared on screen.
- LCP · Main content
- When the largest visible element in the first viewport rendered.
- CLS · Layout stability
- How much content shifted unexpectedly while loading; lower is better.
- TBT · Blocking time
- How long the browser main thread could not respond quickly to input.
- SI · Visual speed
- How quickly the visible viewport filled with content.
7/30/2026Lighthouse 13.4.1Mobile profile
AI readiness checks
Machine-readable files, crawler policy, discovery, and homepage markup.
llms-full.txt
Full version was not found
ai.txt
ai.txt file was not found
Sitemap in robots.txt1
1 sitemap found
Schema.org (JSON-LD)
Types: Organization, WebSite, WebPage
OpenGraph100%
10 OG tags found
AI bot access
Based on robots.txt analysis
GPTBotNot mentioned
OAI-SearchBotNot mentioned
ChatGPT-UserNot mentioned
Google-ExtendedNot mentioned
ClaudeBotNot mentioned
Claude-SearchBotNot mentioned
Claude-UserNot mentioned
BytespiderNot mentioned
CCBotNot mentioned
PerplexityBotNot mentioned
Perplexity-UserNot mentioned
Sitemaps
Declared discovery routes for crawlers and agents.
OpenGraph tags
Social preview metadata found on the homepage.
og:localeen_USog:site_namecbk.aiog:typewebsiteog:urlhttps://cbk.ai/og:titleCBK AI - Build intelligent AI agents that can understand, reason, and take action.og:descriptionEnabling Conversational AI technology for Node.js, AWS Lambda, Vercelog:imagehttps://cbk.ai/api/ogog:image:typeimage/pngog:image:width1200og:image:height630Schema.org markup
Structured entities and properties exposed on the homepage.
OrganizationWebSiteWebPage
nameCBK AI (ChatBotKit)urlhttps://cbk.ailogohttps://cbk.ai/logo.svgsameAshttps://twitter.com/chatbotkit, https://github.com/chatbotkitpublisher{"@id":"https://cbk.ai/#organization"}descriptionEnabling Conversational AI technology for Node.js, AWS Lambda, Vercelimagehttps://cbk.ai/api/og# CBK AI > CBK AI (ChatBotKit) is a platform for building intelligent AI agents that can understand, reason, and take action. Designed for developers building agentic AI with Node.js, serverless environments, and modern JavaScript frameworks. CBK AI provides a comprehensive suite of tools and SDKs for building sophisticated agentic AI systems. The platform focuses on developer experience with clean APIs, comprehensive documentation, and support for all major AI models and deployment environments including AWS Lambda, Vercel Edge, and Cloudflare Workers. Key features include: - Multi-model support with unified interface - Function calling and tool integration - Real-time streaming completions - Lightweight SDK design - Serverless-optimized architecture - CBK Relay for standardized AI API access ## Getting Started - [Sign In](https://console.cbk.ai): No-code agent builder interface - [Developer Docs](https://docs.cbk.ai): Complete SDK documentation and API references - [SDK Overview](https://docs.cbk.ai/sdks): Core SDK installation and setup ## Core SDKs - [@chatbotkit/sdk](https://docs.cbk.ai/sdks/@chatbotkit/sdk): Core API SDK for Node.js and serverless - [@chatbotkit/agent](https://www.npmjs.com/package/@chatbotkit/agent): Agent SDK for building autonomous agents - [@chatbotkit/react](https://docs.cbk.ai/sdks/@chatbotkit/react): React hooks and components - [@chatbotkit/next](https://docs.cbk.ai/sdks/@chatbotkit/next): Next.js server and client utilities - [@chatbotkit/fetch](https://docs.cbk.ai/sdks/@chatbotkit/fetch): Isomorphic fetch implementation ## SDKs for Other Languages and Tooling - [Go SDK](https://github.com/chatbotkit/go-sdk): Official SDK for Go applications and services (`github.com/chatbotkit/go-sdk`) - [Python SDK](https://pypi.org/project/chatbotkit/): Official async Python SDK (`pip install chatbotkit`) - [Terraform Provider](https://registry.terraform.io/providers/chatbotkit/chatbotkit): Provision and manage ChatBotKit resources as infrastructure-as-code - [CLI](https://www.npmjs.com/package/@chatbotkit/cli): Manage agents and platform resources from the command line ## Optional - [GitHub](https://github.com/chatbotkit/node-sdk): SDK source code and examples - [Community](https://go.cbk.ai/discord): Join the developer community
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Added 7/30/2026